Price Forecast AI
Enterprise-grade price predictions with institutional risk metrics. Our AI identifies market direction with 92%+ historical accuracy.
Featured Predictions
Sample predictions showing our AI-powered forecasting in action
Understanding the Predictions
How to interpret our AI-generated forecasts and risk metrics
Direction Signal
UP/DOWN/FLAT indicates predicted price movement using dynamic thresholds calibrated to each asset. The confidence percentage shows model certainty (higher is better).
Forecast Range
The Q10-Q90 range shows where the model expects price to land with 80% probability. Narrower ranges indicate higher confidence in the forecast.
Risk Metrics
VaR (Value at Risk) shows potential loss at 95% confidence.Risk Grade (A-D) summarizes overall volatility and risk level.
Key Metrics Explained
Understanding what each number means for your trading decisions
Confidence %
Model's certainty in the direction prediction. 90%+ is high confidence, 70-90% is moderate. Based on historical backtest accuracy.
Dynamic Threshold
Volatility-based threshold for direction signals. Each asset uses optimal threshold (Crypto: 5-7%, Stocks: 2-5%, Forex: 0.25-0.5%) from current price to trigger UP/DOWN signal, otherwise FLAT.
Value at Risk (VaR)
Maximum expected loss with 95% confidence over the forecast period. A VaR of 5% means there's only 5% chance of losing more than that.
Risk Grade (A-D)
Overall risk assessment: A = Low risk, B = Moderate,C = Elevated, D = High risk. Based on volatility and VaR.
How to Use These Predictions
- 1. Check Direction & Confidence: High confidence UP/DOWN signals are strongest. FLAT means expect range-bound movement.
- 2. Review Price Range: Use Q10-Q90 bounds for stop-loss and take-profit levels.
- 3. Assess Risk: Match risk grade to your tolerance. Grade A assets suit conservative portfolios.
- 4. Consider VaR: Size positions so potential loss (VaR) stays within your risk budget.
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